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‎_pages/about.md‎

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I am an Assistant Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. I serve as program faculty for the [Machine Learning](https://ml.gatech.edu/phd), [Bioinformatics](https://bioinformatics.gatech.edu), and [Bioengineering](https://bioengineering.gatech.edu) Ph.D. programs. I am also affiliated with the Institute for Data Engineering and Science (IDEaS) and the Parker H. Petit Institute for Bioengineering and Bioscience. Prior to Georgia Tech, I was a postdoctoral researcher at [Stanford](https://www.stanford.edu) and [UC Berkeley](https://www.berkeley.edu), and earned my Ph.D. at [Rice University](https://www.rice.edu/).
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My research lies at the intersection of <b>machine learning and AI</b>, <b>information and signal processing</b>, and <b>biological design and engineering</b>. I develop tools and algorithms that enable machines to learn, predict, scale, adapt, and be explained to solve most challenging biological science and engineering problems. Our solutions are usually enabled by a theoretical understanding of the underlying mathematical problems. For that reason, our group is a well-balanced mix of <b>theory</b>, <b>algorithms</b>, and <b>real-world applications</b>.
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Some of the currect directions include:
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My research lies at the intersection of <b>machine learning and AI</b>, <b>signal and information processing</b>, and <b>biological design and engineering</b>. I develop principled algorithms and theoretical tools for building scalable, interpretable, and design-oriented AI systems, with a focus on understanding and engineering biological function. Current research directions are:
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<ul>
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<li>AI4Science</li>
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<li>Protein Design and Optimization</li>
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<li>AI Interpretability</li>
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<li>Agentic AI for Discovery</li>
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<li>Sequence-Function Relationship</li>
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<li>Discrete Diffusion Modeling</li>
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<li><strong>Foundations of Machine Learning:</strong> Fast inference, diffusion and generative models, and high-dimensional statistical learning</li>
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<li><strong>AI Safety and Interpretability:</strong> Mechanistic interpretability and reasoning, Fourier-based explanation methods</li>
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<li><strong>AI for Science:</strong> Protein design, sequence-function maps, cryo-EM modeling, and computational studies of the origins of life</li>
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I pronounce my first name <a href='https://www.youtube.com/watch?v=T6GOCS5fmeg&t=4s'>/æmi:r'æli:/</a> and last name <a href='https://www.youtube.com/watch?v=6efdOZye2Ig'>/ægə'zɑdɛ/</a>.
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‎_site/404.html‎

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Aghazadeh.
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Last updated: January 07, 2026.
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Last updated: February 11, 2026.
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</div>
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</footer>

‎_site/applicants/index.html‎

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Aghazadeh.
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</div>
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‎_site/assets/jupyter/blog.ipynb.html‎

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<html lang="en">
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<head><meta charset="utf-8"/>
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<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
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<title>jekyll-jupyter-notebook20260107-71603-umq9zf</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<title>jekyll-jupyter-notebook20260211-6611-2itlqg</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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<style type="text/css">
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pre { line-height: 125%; }
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td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }

‎_site/blog/2022/index.html‎

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‎_site/blog/2024/index.html‎

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‎_site/blog/2024/tabs/index.html‎

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<p>With this you can generate visualizations like:</p>
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<ul id="log" class="tab" data-tab="c77beffe-c5cf-4a8a-9f48-12b39e4c73d8" data-name="log">
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<a href="#">php </a>
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<div class="language-php highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="nb">var_dump</span><span class="p">(</span><span class="s1">'hello'</span><span class="p">);</span>
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<h2 id="another-example">Another example</h2>
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<div class="language-yaml highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="na">hello</span><span class="pi">:</span>
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<h2 id="tabs-for-something-else">Tabs for something else</h2>
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<ul id="something-else" class="tab" data-tab="6a0001bf-91bf-4ed9-81c4-505e379685de" data-name="something-else">
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<ul id="something-else" class="tab" data-tab="1590b90f-62a8-4a9f-b6bc-7cc3cfc68e84" data-name="something-else">
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<p>Regular text</p>
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‎_site/blog/category/sample-posts/index.html‎

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‎_site/blog/tag/code/index.html‎

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‎_site/blog/tag/formatting/index.html‎

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